Strategic Evolution: Enhancing Digital-Transformation Success through Maturity Models

Subject Areas : Artificial Intelligence

Punita Raj ^{1 *} , Salma Zouaoui ² , Ioana Filipas ³ , François Marmier ⁴ , Bertrand Rose ⁵

1 - University of Strasbourg, CNRS Icube laboratory, Strasbourg, France
2 - Department of Industrial Engineering, University of Strasbourg, CNRS Icube laboratory, Strasbourg, France
3 - Department of Industrial Management & Innovation, BETA, University of Strasbourg, Strasbourg, France
4 - University of Strasbourg, CNRS Icube laboratory, Strasbourg, France
5 - University of Strasbourg, CNRS Icube laboratory, Strasbourg, France

Received: 2025-07-07 Accepted : 2025-09-20 Published : 2025-09-20

Keywords: Digital transformation, Digital Maturity models, Strategic alignment, Organisational agility, Operational efficiency,

Abstract :

Today’s business environment is very dynamic and calls for Digital-Transformation (DT) as a survival trick, especially in the manufacturing sector. This research aims to find out how maturity models affect the success of DT activities within this industry. Through an analysis of multiple case studies using a qualitative approach, the study explores how maturity models like Capability Maturity Model Integration (CMMI) and Digital-Transformation Maturity Model (DTMM) help organisations direct DT. The outcomes demonstrate that maturity models play important roles in strategic alignment, organisational agility, and operational efficiency/innovation improvement programs. This paper also aims at developing a practical framework for assessing and enhancing their digital strategies through maturity models in manufacturing companies. This research advances current knowledge by giving practical insights and valuable advice to manufacturers throughout their lifetimes as well as showing them that they must always be working towards betterment and including all stakeholders’ interests if they are to succeed in implementing technological change.

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